Is there a way to drop frames to mitigate dynamic traffic in video stream during face recognition

Please provide complete information as applicable to your setup.

• Hardware Platform (Jetson / GPU) GPU
• DeepStream Version 6.2
• JetPack Version (valid for Jetson only)
• TensorRT Version 8.5.x
• NVIDIA GPU Driver Version (valid for GPU only) 525.x.x.x
• Issue Type( questions, new requirements, bugs) question
• How to reproduce the issue ? (This is for bugs. Including which sample app is using, the configuration files content, the command line used and other details for reproducing)
• Requirement details( This is for new requirement. Including the module name-for which plugin or for which sample application, the function description)

Is there a way in Deepstream to drop frame if PGIE is not able to cop up with input frames. specially It is with dynamic traffic where large number of objects are in scene.

Try putting a queue element between your source and the nvinfer element with property “leaky = 2”.

There is no update from you for a period, assuming this is not an issue anymore. Hence we are closing this topic. If need further support, please open a new one. Thanks

No. There is no such way to drop the designated frames. You may need to write a plugin to do this.

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